Juno Woods
Senior GN&C Engineer II at Astranis Space Technologies
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJuno Woods is a Senior GN&C Engineer with 15 years of cross-disciplinary experience bridging spacecraft guidance, navigation and control, evolutionary systems biology, and open-source scientific software. With a Ph.D. in bioinformatics and an NSF fellowship, they have moved from publishing gene–disease prediction work to deriving navigation math that guides missions from Earth to the Moon, and now lead GN&C at Astranis. Juno combines deep systems programming (20 years in C/C++, a decade in Python and Ruby) with hands-on sensor integration and ML-enabled perception for hardware-in-the-loop systems. They've contributed to notable open-source projects like SciRuby and the FLANN integration, and nearly single-handedly authored a widely used Ruby linear algebra library. An experienced organizer and founder, Juno also co-founded a lunar tech startup and a non-profit policy group, pairing technical rigor with practical policy and community impact.
15 years of coding experience
10 years of employment as a software developer
St. Stephen's & St. Agnes SchoolPh.D. Cell and Molecular Biology (Bioinformatics), Ph.D. Cell and Molecular Biology (Bioinformatics) at The University of Texas at AustinBS Computer Science, BS Computer Science at Virginia Tech
English, Spanish, Russian
Stackoverflow
3,777reputation
343kreached
55answers
73questions
benchmarking
top-5%
Github Skills (33)
pcl10
c-language10
recommendation-system10
nearest-neighbors10
point-cloud-library10
c1110
cffi10
ruby10
c1710
foreign10
ffi10
nearest-neighbor-search10
minitest10
computer-vision10
cpp10
Programming languages (11)
Github contributions (5)
SciRuby/sciruby
Jan 2011 - Jun 2015
Tools for scientific computation in Ruby
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:79 commits, 3 PRs, 5 pushes in 4 years 5 months
Contributions summary:Juno primarily contributed to the `SciRuby` project by implementing features related to scientific computation, particularly in the area of expert recommendation systems. They added and modified code in `lib/sci_ruby/recommend.rb`, focusing on set distance functions and incorporating the `Distribution` gem. The user also made modifications to the testing framework, specifically `helpers_tests.rb` and `test_recommend.rb`, ensuring the correctness of the new and existing functionalities. The user also updated the `SciRuby` module by adding autoloads to its dependencies.
computationlapacksciencescientific-computingruby
flann-lib/flann
Mar 2014 - Mar 2014
Fast Library for Approximate Nearest Neighbors
Role in this project:Back-end Developer
Back-end DeveloperContributions:19 commits, 1 issue in 19 days
Contributions summary:Juno's primary contribution involved developing a Ruby gem related to the FLANN library. This included implementing essential C functions and creating skeleton files for the Ruby gem, enabling functionality for finding nearest neighbors, with and without indexing. They also focused on adding and improving specs to ensure the code's functionality and robustness. The user's work is centered around integrating FLANN's core functionalities with a Ruby interface.
neighborsnearestapproximate-nearest-neighborskd-treenearest-neighbors
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